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Numeric Precision Comparisons — Base-100 Series + IQR Outlier Flags
x402
Numeric Precision Comparisons — Base-100 Series + IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Generates a base-100 indexed time series and IQR-based outlier flags for up to 200 rows of source/transformed numeric value pairs, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Base-100 series + IQR outlier flags: Base-100 series + IQR outlier flags for supplied numeric precision comparisons records (source_value, transformed_value). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two independent analytical reports: (1) a base-100 indexed time series for the specified field, anchored at the given base_index row, showing relative change across all rows; and (2) IQR-based outlier flags identifying which rows contain statistically anomalous values. Results cover up to 200 input rows and are computed locally with no external data lookups.
Example use cases
ETL pipeline data quality check
“I just ran an ETL transformation on my revenue figures — here are the before and after values for 150 rows across two groups. Can you index them to base-100 starting from row 0 on source_value and flag any rows where the transformed_value looks like an IQR outlier?”
Financial data normalization review
“I have 80 rows of daily financial metrics with both raw and adjusted values. Please generate a base-100 series for the source_value field starting at index 0, and give me IQR outlier flags so I can spot any suspicious adjustments.”
Scientific measurement comparison
“Here are 120 instrument readings with original measurements and calibrated values across two sensor groups. Run a base-100 normalization starting from row 0 on source_value and flag any calibrated values that fall outside the IQR range.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-164?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a base-100 normalized index series and IQR outlier detection on a single dataset of up to 200 numeric rows in one call. It is best suited for data quality checks between original and transformed values, ETL validation, or exploratory statistical analysis where no external data, predictions, or live lookups are required. Prefer alternatives if you need more than 200 rows, real-time data enrichment, machine learning predictions, or professional assessments.
Side effects
- Empty or missing rows array returns an error
- More than 200 rows submitted exceeds the maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- base_index out of range (>=number of rows) may cause indexing errors
- All-null source_value or transformed_value columns may produce degenerate results
- Invalid field enum value (not 'source_value' or 'transformed_value') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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